The document summarizes an experiment using human participants to simulate the functions of a neural network. The participants worked together to encode an image by describing its elements, then generated a poem by collectively proposing and voting on words and phrases. This process aimed to demonstrate how machines encode and generate text from images. The experiment showed the participants taking turns proposing words or phrases to build a poem corresponding to several different encoded images. In the conclusion, the author acknowledges contributions from researchers in the field of neural networks and natural language processing.
The document discusses a student group's genre and sub-genre for their film assignment. Their teacher assigned them the horror genre. From a list of sub-genres including psychological, thriller, and zombie, they chose supernatural. The document then lists examples of both historic and contemporary supernatural horror films such as The Exorcist, The Ring, and The Conjuring to aid in their research.
The document discusses audio editing tools for adjusting volume levels and panning sounds from left to right. It describes using various sound effects like walking in snow, a match being struck, and a monster sound, and manipulating the audio properties to create a scene of humans in a snowy, alien location where they are running in the snow and lighting matches in a cave while being chased by a monster.
Goliath and his clan of gargoyles have been turned to stone by unknown magic. Demona reveals that she did this using the Grimorum, an ancient book of sorcery, and that with a new power over hearts unlocked from the gargoyles, she and her allies will be able to rule over humans. Goliath demands the release of his clan from their stone prison, but Demona's ally Zexion disappears, leaving the gargoyles still trapped in stone.
Goliath and his clan of gargoyles have been turned to stone by unknown magic. Demona reveals that she did this using the Grimorum, an ancient book of sorcery, and that with a new power over hearts unlocked from the gargoyles, she and her allies will be able to rule over humans. Goliath demands the release of his clan from their stone prison, but Demona's ally Zexion disappears, leaving the gargoyles still trapped in stone.
Presentation of work that will be published at EMNLP 2016.
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bošnjak, Sebastian Riedel. emoji2vec: Learning Emoji Representations from their Description. SocialNLP at EMNLP 2016. https://arxiv.org/abs/1609.08359
Georgios Spithourakis, Isabelle Augenstein, Sebastian Riedel. Numerically Grounded Language Models for Semantic Error Correction. EMNLP 2016. https://arxiv.org/abs/1608.04147
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva. Stance Detection with Bidirectional Conditional Encoding. EMNLP 2016. https://arxiv.org/abs/1606.05464
USFD at SemEval-2016 - Stance Detection on Twitter with AutoencodersIsabelle Augenstein
This paper describes the University of Sheffield's submission to the SemEval 2016 Twitter Stance Detection weakly supervised task (SemEval 2016 Task 6, Subtask B). In stance detection, the goal is to classify the stance of a tweet towards a target as "favor", "against", or "none". In Subtask B, the targets in the test data are different from the targets in the training data, thus rendering the task more challenging but also more realistic.
To address the lack of target-specific training data, we use a large set of unlabelled tweets containing all targets and train a bag-of-words autoencoder to learn how to produce feature representations of tweets. These feature representations are then used to train a logistic regression classifier on labelled tweets, with additional features such as an indicator of whether the target is contained in the tweet. Our submitted run on the test data achieved an F1 of 0.3270.
Paper: http://isabelleaugenstein.github.io/papers/SemEval2016-Stance.pdf
Seed Selection for Distantly Supervised Web-Based Relation ExtractionIsabelle Augenstein
Slides of my presentation on "Seed Selection for Distantly Supervised Web-Based Relation Extraction" at the Semantic Web and Information Extraction workshop (SWAIE) and COLING 2014
Download link for the paper: http://staffwww.dcs.shef.ac.uk/people/I.Augenstein/SWAIE2014-Seed.pdf
The document discusses a student group's genre and sub-genre for their film assignment. Their teacher assigned them the horror genre. From a list of sub-genres including psychological, thriller, and zombie, they chose supernatural. The document then lists examples of both historic and contemporary supernatural horror films such as The Exorcist, The Ring, and The Conjuring to aid in their research.
The document discusses audio editing tools for adjusting volume levels and panning sounds from left to right. It describes using various sound effects like walking in snow, a match being struck, and a monster sound, and manipulating the audio properties to create a scene of humans in a snowy, alien location where they are running in the snow and lighting matches in a cave while being chased by a monster.
Goliath and his clan of gargoyles have been turned to stone by unknown magic. Demona reveals that she did this using the Grimorum, an ancient book of sorcery, and that with a new power over hearts unlocked from the gargoyles, she and her allies will be able to rule over humans. Goliath demands the release of his clan from their stone prison, but Demona's ally Zexion disappears, leaving the gargoyles still trapped in stone.
Goliath and his clan of gargoyles have been turned to stone by unknown magic. Demona reveals that she did this using the Grimorum, an ancient book of sorcery, and that with a new power over hearts unlocked from the gargoyles, she and her allies will be able to rule over humans. Goliath demands the release of his clan from their stone prison, but Demona's ally Zexion disappears, leaving the gargoyles still trapped in stone.
Presentation of work that will be published at EMNLP 2016.
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bošnjak, Sebastian Riedel. emoji2vec: Learning Emoji Representations from their Description. SocialNLP at EMNLP 2016. https://arxiv.org/abs/1609.08359
Georgios Spithourakis, Isabelle Augenstein, Sebastian Riedel. Numerically Grounded Language Models for Semantic Error Correction. EMNLP 2016. https://arxiv.org/abs/1608.04147
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva. Stance Detection with Bidirectional Conditional Encoding. EMNLP 2016. https://arxiv.org/abs/1606.05464
USFD at SemEval-2016 - Stance Detection on Twitter with AutoencodersIsabelle Augenstein
This paper describes the University of Sheffield's submission to the SemEval 2016 Twitter Stance Detection weakly supervised task (SemEval 2016 Task 6, Subtask B). In stance detection, the goal is to classify the stance of a tweet towards a target as "favor", "against", or "none". In Subtask B, the targets in the test data are different from the targets in the training data, thus rendering the task more challenging but also more realistic.
To address the lack of target-specific training data, we use a large set of unlabelled tweets containing all targets and train a bag-of-words autoencoder to learn how to produce feature representations of tweets. These feature representations are then used to train a logistic regression classifier on labelled tweets, with additional features such as an indicator of whether the target is contained in the tweet. Our submitted run on the test data achieved an F1 of 0.3270.
Paper: http://isabelleaugenstein.github.io/papers/SemEval2016-Stance.pdf
Seed Selection for Distantly Supervised Web-Based Relation ExtractionIsabelle Augenstein
Slides of my presentation on "Seed Selection for Distantly Supervised Web-Based Relation Extraction" at the Semantic Web and Information Extraction workshop (SWAIE) and COLING 2014
Download link for the paper: http://staffwww.dcs.shef.ac.uk/people/I.Augenstein/SWAIE2014-Seed.pdf
Imitation learning is used to address the problem of distant supervision for relation extraction. It decomposes the task into named entity classification (NEC) and relation extraction (RE), allowing the models to be trained separately. Through an iterative process, imitation learning is able to learn the dependencies between NEC and RE even when only labels for RE are provided. This overcomes limitations of prior approaches that rely on distantly labeled data. Evaluation shows the approach improves over baselines by leveraging multi-stage modeling to compensate for mistakes at the NEC stage.
Relation Extraction from the Web using Distant SupervisionIsabelle Augenstein
This paper proposes using distant supervision to extract relations from web text to populate knowledge bases without requiring manual effort. It does this by using an existing knowledge base to automatically label sentences with entity relations, training a classifier on this distant supervision data. The paper describes using statistical methods to select better training data and discard noisy examples, and shows this improves precision. It also introduces methods for integrating information across sentences which improves both precision and recall of extracted relations.
Semantic Search tutorial at SemTech 2012Peter Mika
This document provides an introduction to a semantic search tutorial given by Peter Mika and Tran Duc Thanh. The agenda covers semantic web data, including the RDF data model and publishing RDF data. It also covers query processing, ranking, result presentation, evaluation, and a question period. The document discusses why semantic search is needed to address poorly solved queries and enable novel search tasks using structured data and background knowledge.
The document presents a method for mapping keywords to linked data resources for automatic query expansion. It aims to address challenges like spelling mistakes, synonyms, and lexical variations. The method learns an expanded set of keywords and ranks them by identifying concepts through labeling properties within the dataset. It was evaluated on DBpedia and showed an improvement over state-of-the-art methods, achieving a 17% increase in mean reciprocal rank. Future work is discussed to integrate multiple strategies and fine-tune the approach.
Este documento resume los efectos de la luz, el sonido, el magnetismo y la electricidad en la salud humana. La luz afecta los neurotransmisores cerebrales y puede causar depresión si hay carencia crónica. La exposición prolongada a sonidos fuertes puede tener consecuencias negativas para la salud física y mental. Los campos magnéticos regulan funciones corporales y alivian el dolor, aunque exposiciones intensas pueden ser dañinas. La electricidad puede causar descargas al tocar objetos conductores después de camin
Efetos en la luz el sonido, el magnetismo y la electricidad danellyusuga
Este documento describe los efectos de la luz, el sonido, el magnetismo y la electricidad en la salud humana. La luz afecta los neurotransmisores cerebrales y puede causar depresión si hay carencia crónica. La exposición prolongada a sonidos fuertes puede tener consecuencias negativas para la salud física y mental. Los campos magnéticos regulan funciones corporales y alivian el dolor, aunque exposiciones intensas pueden ser dañinas. La electricidad está asociada con la aparición de cargas eléct
Este documento resume la situación de las personas mayores dependientes en España desde la perspectiva de una mujer que ha realizado encuestas sobre el tema. Resume que muchas personas mayores viven en condiciones precarias con pocos recursos económicos y apoyo, y que aunque la ley de dependencia ha ayudado, todavía enfrentan dificultades para acceder a los beneficios y el tiempo de asistencia es insuficiente, por lo que se necesitan más recursos para mejorar la implementación de la ley.
Slides for my tutorial at the ESWC Summer School 2015, giving an introduction to information extraction with Linked Data and an introduction to one of the applications of information extraction, opinion mining.
The document provides an overview of how to approach reading a play script. It discusses some key elements to look for in a script like the title, characters, and stage directions to understand the world of the play. It also contrasts reading a play script to seeing a live performance, as the reader must imagine and fill in many visual details left unspecified in the text. The article then discusses different genres of plays like tragedy and comedy and their defining conventions to help readers analyze and understand plays from different traditions.
Just sentences. In this course, we will cover all the ways that sentences get longer—and shorter. We will touch upon whatever we can learn about how they work, what they do, how we can think and talk about them in ways that will help both our writing and our understanding of prose style. Partly we are concerned with stretching our sense of options—all the things a sentence can be or do—and part with the notion of style itself. In other words, we will dance with language rather than trudging toward remedial correctness.
We will learn how a sentence’s style results from the strategies it employs for combining its underlying ideas or propositions. Accordingly, our goal will be to learn everything we can about the way sentences combine ideas. Understanding how sentences put ideas together is the first step in understanding how they do things, the ways in which they work, the ways they present information, and the ways they unfold their meanings—and to learn how to make them work for us. It will be done by studying the ways in which sentences combine information i.e. coordinating, subordinating, or subsuming in a modification. We will look at the difference between sentences that combine information through loose syntax and those that do so through periodic syntax, focusing on the generative or heuristic power of cumulative sentences. As our concern is with how sentences work, we will focus on the rhetorical notions rather than grammatical ones, notions that help us understand how sentences move, how they take steps, speeding up and slowing down, how they make us feel, rather than notions and terms that label the parts of a sentence much as we would label the parts of a dissected— and quite dead—frog. This means that we will study the sentence as a living organism in an ecosystem of context.
The document discusses density and its calculation. Density is defined as mass divided by volume, with units of grams per cubic centimeter (g/cm3). Volume can be measured directly for simple shapes using length x width x height, but for complex shapes it is equal to the volume of water displaced. Archimedes' principle of buoyancy established that the volume of an object is equal to the volume of fluid it displaces. Density can be used to identify whether an object will float or sink in water depending on if its density is less than, greater than, or equal to the density of water, which is 1g/cm3. Density is an intrinsic property that can be used to identify materials.
The document provides information about earth science and plate tectonics. It begins with a starter asking students where earthquakes and volcanoes occur and why. It then defines key terms like continental crust, oceanic crust, and magma. It explains the four types of plate boundaries - constructive, destructive, conservative, and conservative/transform. At constructive boundaries, plates move apart and volcanoes form as magma rises. Destructive boundaries see one plate subducting under another, causing earthquakes and volcanoes. Conservative boundaries see plates sliding past each other, resulting in earthquakes.
This document provides examples of and comments on different types of paragraphs: narrative, exposition, definition, description, comparison, process analysis, and persuasion. For each example paragraph, comments are given on effective techniques for that type of writing. The narrative paragraph tells a story of a couple who get scared while camping in the dark woods. The overall document serves to illustrate different paragraph styles and provide guidance on crafting paragraphs.
An Example Of A Good Conclusion. Example Of A Conclusion. 2022-11-02Dani Cox
The document discusses writing services provided by HelpWriting.net. It outlines the 5 step process: 1) Create an account, 2) Complete an order form providing instructions and deadline, 3) Review writer bids and choose one, 4) Review the paper and authorize payment, 5) Request revisions to ensure satisfaction. It emphasizes the original, high-quality content and refund policy if plagiarized.
Here are the connections between the terms provided:
Stuxnet - Computer worm that targeted Siemens industrial software and equipment, specifically developed to sabotage Iran's nuclear facilities by damaging centrifuges.
Flame - Malware that targeted Middle Eastern countries and was believed to be developed jointly by US and Israel to monitor Iran's nuclear program.
Duqu - Precursor to Stuxnet that stole digital certificates which were then used by Stuxnet.
Gauss - Described as a cyber-espionage toolkit targeting financial institutions, designed to steal sensitive data.
Shamoon - Wiper malware that destroyed data on computers of Saudi Aramco and Qatari natural gas firm. Caused significant
Imitation learning is used to address the problem of distant supervision for relation extraction. It decomposes the task into named entity classification (NEC) and relation extraction (RE), allowing the models to be trained separately. Through an iterative process, imitation learning is able to learn the dependencies between NEC and RE even when only labels for RE are provided. This overcomes limitations of prior approaches that rely on distantly labeled data. Evaluation shows the approach improves over baselines by leveraging multi-stage modeling to compensate for mistakes at the NEC stage.
Relation Extraction from the Web using Distant SupervisionIsabelle Augenstein
This paper proposes using distant supervision to extract relations from web text to populate knowledge bases without requiring manual effort. It does this by using an existing knowledge base to automatically label sentences with entity relations, training a classifier on this distant supervision data. The paper describes using statistical methods to select better training data and discard noisy examples, and shows this improves precision. It also introduces methods for integrating information across sentences which improves both precision and recall of extracted relations.
Semantic Search tutorial at SemTech 2012Peter Mika
This document provides an introduction to a semantic search tutorial given by Peter Mika and Tran Duc Thanh. The agenda covers semantic web data, including the RDF data model and publishing RDF data. It also covers query processing, ranking, result presentation, evaluation, and a question period. The document discusses why semantic search is needed to address poorly solved queries and enable novel search tasks using structured data and background knowledge.
The document presents a method for mapping keywords to linked data resources for automatic query expansion. It aims to address challenges like spelling mistakes, synonyms, and lexical variations. The method learns an expanded set of keywords and ranks them by identifying concepts through labeling properties within the dataset. It was evaluated on DBpedia and showed an improvement over state-of-the-art methods, achieving a 17% increase in mean reciprocal rank. Future work is discussed to integrate multiple strategies and fine-tune the approach.
Este documento resume los efectos de la luz, el sonido, el magnetismo y la electricidad en la salud humana. La luz afecta los neurotransmisores cerebrales y puede causar depresión si hay carencia crónica. La exposición prolongada a sonidos fuertes puede tener consecuencias negativas para la salud física y mental. Los campos magnéticos regulan funciones corporales y alivian el dolor, aunque exposiciones intensas pueden ser dañinas. La electricidad puede causar descargas al tocar objetos conductores después de camin
Efetos en la luz el sonido, el magnetismo y la electricidad danellyusuga
Este documento describe los efectos de la luz, el sonido, el magnetismo y la electricidad en la salud humana. La luz afecta los neurotransmisores cerebrales y puede causar depresión si hay carencia crónica. La exposición prolongada a sonidos fuertes puede tener consecuencias negativas para la salud física y mental. Los campos magnéticos regulan funciones corporales y alivian el dolor, aunque exposiciones intensas pueden ser dañinas. La electricidad está asociada con la aparición de cargas eléct
Este documento resume la situación de las personas mayores dependientes en España desde la perspectiva de una mujer que ha realizado encuestas sobre el tema. Resume que muchas personas mayores viven en condiciones precarias con pocos recursos económicos y apoyo, y que aunque la ley de dependencia ha ayudado, todavía enfrentan dificultades para acceder a los beneficios y el tiempo de asistencia es insuficiente, por lo que se necesitan más recursos para mejorar la implementación de la ley.
Slides for my tutorial at the ESWC Summer School 2015, giving an introduction to information extraction with Linked Data and an introduction to one of the applications of information extraction, opinion mining.
The document provides an overview of how to approach reading a play script. It discusses some key elements to look for in a script like the title, characters, and stage directions to understand the world of the play. It also contrasts reading a play script to seeing a live performance, as the reader must imagine and fill in many visual details left unspecified in the text. The article then discusses different genres of plays like tragedy and comedy and their defining conventions to help readers analyze and understand plays from different traditions.
Just sentences. In this course, we will cover all the ways that sentences get longer—and shorter. We will touch upon whatever we can learn about how they work, what they do, how we can think and talk about them in ways that will help both our writing and our understanding of prose style. Partly we are concerned with stretching our sense of options—all the things a sentence can be or do—and part with the notion of style itself. In other words, we will dance with language rather than trudging toward remedial correctness.
We will learn how a sentence’s style results from the strategies it employs for combining its underlying ideas or propositions. Accordingly, our goal will be to learn everything we can about the way sentences combine ideas. Understanding how sentences put ideas together is the first step in understanding how they do things, the ways in which they work, the ways they present information, and the ways they unfold their meanings—and to learn how to make them work for us. It will be done by studying the ways in which sentences combine information i.e. coordinating, subordinating, or subsuming in a modification. We will look at the difference between sentences that combine information through loose syntax and those that do so through periodic syntax, focusing on the generative or heuristic power of cumulative sentences. As our concern is with how sentences work, we will focus on the rhetorical notions rather than grammatical ones, notions that help us understand how sentences move, how they take steps, speeding up and slowing down, how they make us feel, rather than notions and terms that label the parts of a sentence much as we would label the parts of a dissected— and quite dead—frog. This means that we will study the sentence as a living organism in an ecosystem of context.
The document discusses density and its calculation. Density is defined as mass divided by volume, with units of grams per cubic centimeter (g/cm3). Volume can be measured directly for simple shapes using length x width x height, but for complex shapes it is equal to the volume of water displaced. Archimedes' principle of buoyancy established that the volume of an object is equal to the volume of fluid it displaces. Density can be used to identify whether an object will float or sink in water depending on if its density is less than, greater than, or equal to the density of water, which is 1g/cm3. Density is an intrinsic property that can be used to identify materials.
The document provides information about earth science and plate tectonics. It begins with a starter asking students where earthquakes and volcanoes occur and why. It then defines key terms like continental crust, oceanic crust, and magma. It explains the four types of plate boundaries - constructive, destructive, conservative, and conservative/transform. At constructive boundaries, plates move apart and volcanoes form as magma rises. Destructive boundaries see one plate subducting under another, causing earthquakes and volcanoes. Conservative boundaries see plates sliding past each other, resulting in earthquakes.
This document provides examples of and comments on different types of paragraphs: narrative, exposition, definition, description, comparison, process analysis, and persuasion. For each example paragraph, comments are given on effective techniques for that type of writing. The narrative paragraph tells a story of a couple who get scared while camping in the dark woods. The overall document serves to illustrate different paragraph styles and provide guidance on crafting paragraphs.
An Example Of A Good Conclusion. Example Of A Conclusion. 2022-11-02Dani Cox
The document discusses writing services provided by HelpWriting.net. It outlines the 5 step process: 1) Create an account, 2) Complete an order form providing instructions and deadline, 3) Review writer bids and choose one, 4) Review the paper and authorize payment, 5) Request revisions to ensure satisfaction. It emphasizes the original, high-quality content and refund policy if plagiarized.
Here are the connections between the terms provided:
Stuxnet - Computer worm that targeted Siemens industrial software and equipment, specifically developed to sabotage Iran's nuclear facilities by damaging centrifuges.
Flame - Malware that targeted Middle Eastern countries and was believed to be developed jointly by US and Israel to monitor Iran's nuclear program.
Duqu - Precursor to Stuxnet that stole digital certificates which were then used by Stuxnet.
Gauss - Described as a cyber-espionage toolkit targeting financial institutions, designed to steal sensitive data.
Shamoon - Wiper malware that destroyed data on computers of Saudi Aramco and Qatari natural gas firm. Caused significant
The document discusses different topics including music, videos, poetry, and cultural exchange. It contains lyrics to the song "Colors of the Wind" from Pocahontas, which talks about understanding different perspectives and cultures. The document encourages openness to new ideas and appreciating the beauty and connections in nature.
Here are 5 responses from Mahatma Gandhi's writings that could fit the prompts:
1. Friends, my heart is still unwilling to believe that these Talibans are unaware of the damage they are causing to this nation and to our society.
2. Friends, now is the time to recognize with crystal clarity these Talibans, who are busy introducing a new untouchability in our public life.
3. They have an army of people to promote their side of the story, crores of media budgets and are sparing no efforts to bring me down. The only thing I have is my fans, and the truth. But then, the truth is Krishna, and the Pandavas had only that while
Charles Hanson and his wife got scared while camping in a Florida state park late one night. They realized the park was too isolated and dark for what they wanted. Many visitors leave parks at night due to getting scared. Different parks in Florida have varying levels of isolation, amenities, and types of environments that appeal to different kinds of visitors.
Proper adjectives are adjectives that are derived from proper nouns. Some examples of proper adjectives in red are:
British
American
French
Chinese
Japanese
This document provides an overview of deconstruction as a literary theory. It discusses how deconstruction questions the objective truth of language and focuses on ambiguities in meaning. The founder, Jacques Derrida, viewed it as a strategy for reading that looks at what is not present in a text. Deconstruction analyzes binary oppositions and aims to give privilege to the non-dominant part. It has been criticized for making literature seem like "word play" and obscuring meaning.
Buy Pre Written Essays. Online assignment writing service.Jenny Mancini
The document discusses William Wordsworth's Preface to Lyrical Ballads, which aimed to explain his revolutionary poetic style presented in Lyrical Ballads, co-authored with Samuel Coleridge. Wordsworth sought to capture everyday language in his poems and move away from the rigid poetic structures of the past. The preface outlined his goal of using simple language drawn from speech to create a new type of poetry focused on subjects from common life. It argued this style was truer to human emotion and nature compared to the artificial language of previous generations of poets.
The document contains vocabulary words and their definitions from the novel "Roll of Thunder, Hear My Cry" by Mildred D. Taylor. Each entry includes the vocabulary word, its part of speech, its definition, and an example sentence from the text using the word. There are over 20 vocabulary words defined from the novel.
This lecture is part of a series of four lectures, developed for the AKI-academy, Enschede, The Netherlands, for the department Crossmedia Design. These lectures are the points of reference for short presentations created by the participating students.
This document discusses imagery in poetry. It begins by defining imagery as the use of figurative language to represent ideas through our senses. Poets use imagery to convey emotions, emphasize qualities, and set moods. Examples are provided of poems that effectively use imagery related to sight, sound, and touch. Readers are prompted to analyze imagery in poems and consider how it makes them feel. The document encourages practicing using imagery in various categories and sharing poems using sensory language. It concludes with an assignment to write a short poem on the topic of "ORANGE" that employs imagery.
The document provides guidance on identifying subjects and choosing the correct verb when the subject is singular or plural. It addresses subjects such as hymns, hymn writers, composers, Christians, and more. Rules are presented, such as "both + and = plural" and "neither + nor = choose the term closest to the verb". Examples are given to demonstrate whether the verb should be singular or plural depending on the number of the subject.
The document describes the author's observations of a decaying piece of wood found under a plane tree. The wood had holes and a reddish color, and resembled a termite mound in shape. This led the author to consider the beauty in decay and nature's cycles. They wondered what insects might inhabit the wood. The author questions how decay can produce habitats and how humans interact with nature. They reflect on how art like Keats' and Shakespeare's have found beauty in themes of decay and death.
The document summarizes different approaches to translating texts from one language to another. It discusses Friedrich Schleiermacher's view that a translator should either move the reader toward the original writer or move the original writer toward the reader. It notes that Schleiermacher favored moving the reader toward the writer by providing the same experience as reading the original text. The document also provides an example of a poem by Miguel Hernández translated into English.
Scarcity exists because resources are limited while human wants are unlimited. Scarcity means not all goals can be pursued at the same time, requiring trade-offs. Scarcity is determined by production costs rather than importance - air is more important than diamonds but diamonds are scarcer since they have higher production costs to find and process them. Evidence of scarcity includes the record high copper prices from increased demand and constrained supply, leading some to steal copper due to its growing scarcity.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
11. Generating Text (decoding) (1)
Toe upon ___, a snowing flesh,
A gold of lemon, root and rind,
She sifts in sunlight down the ____
With nothing on. Nor on her mind.
We spy beneath the banister
A constant thresh of thigh on thigh--
Her lips imprint the swinging ___
That parts to let her parts go __.
One-woman waterfall, she wears
Her slow descent like a long cape
And pausing, on the final stair
Collects her motions into shape.
Nude Descending a Staircase,
Duchamp, 1912 X. J. Kennedy (1961)
12. Generating Text (decoding) (1)
Toe upon toe, a snowing flesh,
A gold of lemon, root and rind,
She sifts in sunlight down the ____
With nothing on. Nor on her mind.
We spy beneath the banister
A constant thresh of thigh on thigh--
Her lips imprint the swinging ___
That parts to let her parts go __.
One-woman waterfall, she wears
Her slow descent like a long cape
And pausing, on the final stair
Collects her motions into shape.
Nude Descending a Staircase,
Duchamp, 1912 X. J. Kennedy (1961)
13. Generating Text (decoding) (1)
Toe upon toe, a snowing flesh,
A gold of lemon, root and rind,
She sifts in sunlight down the stairs
With nothing on. Nor on her mind.
We spy beneath the banister
A constant thresh of thigh on thigh--
Her lips imprint the swinging ___
That parts to let her parts go __.
One-woman waterfall, she wears
Her slow descent like a long cape
And pausing, on the final stair
Collects her motions into shape.
Nude Descending a Staircase,
Duchamp, 1912 X. J. Kennedy (1961)
14. Generating Text (decoding) (1)
Toe upon toe, a snowing flesh,
A gold of lemon, root and rind,
She sifts in sunlight down the stairs
With nothing on. Nor on her mind.
We spy beneath the banister
A constant thresh of thigh on thigh--
Her lips imprint the swinging air
That parts to let her parts go __.
One-woman waterfall, she wears
Her slow descent like a long cape
And pausing, on the final stair
Collects her motions into shape.
Nude Descending a Staircase,
Duchamp, 1912 X. J. Kennedy (1961)
15. Generating Text (decoding) (1)
Toe upon toe, a snowing flesh,
A gold of lemon, root and rind,
She sifts in sunlight down the stairs
With nothing on. Nor on her mind.
We spy beneath the banister
A constant thresh of thigh on thigh--
Her lips imprint the swinging air
That parts to let her parts go by.
One-woman waterfall, she wears
Her slow descent like a long cape
And pausing, on the final stair
Collects her motions into shape.
Nude Descending a Staircase,
Duchamp, 1912 X. J. Kennedy (1961)
16. • Recurrent Neural Networks (RNNs)
Input
Output
Generating Text (decoding) (2)
<START> Toe upon
Toe upon toe
17. • Recurrent Neural Networks (RNNs)
Input
Output
Generating Text (decoding) (2)
<START> Toe upon
Toe upon toe
18. • Recurrent Neural Networks (RNNs)
Input
Output
Generating Text (decoding) (2)
<START> Toe upon
Toe upon toe
Aardvark 0.1%
.
.
.
Toe 20%
.
.
.
Zebra 0.2%
20. Exercise Goals
• Humans become a machine
• Each group is a neural machine
• Each individual is a neuron
• Adaptation
• Communicate in words (not numbers)
• More flexibility
21. Encoding an image
• Describe what you see
• Pieces of an image
• Objects in a scene
• A story for the scene
22. Encoding an Image – Pieces
• For each piece, choose 3 words that describe its content
Blue
Uniform
Empty
Sea
Blue
Calm
Sky
Cloud
Sunny
Cloud
Sky
Stick
Sky
Cloud
Cotton
Tightrope
Man
Balancing
Clouds
Sky
Lines
Grey
Cloud
Tripod
City
Landscape
River
Skyscrapers
Landscape
Horizon
Corner
Buildings
Window
Puddle
Mirror
Pavement
Riverside
Town
Park
Buildings
Roads
Below
City
Brownish
Metal
River
Brown
City
23.
24. Encoding an Image – Objects (individual)
• Group together pieces to identify up to 5 objects
• Describe each with 1 word
• A story should start forming
Blue
Uniform
Empty
Sea
Blue
Calm
Sky
Cloud
Sunny
Cloud
Sky
Stick
Sky
Cloud
Cotton
Tightrope
Man
Balancing
Clouds
Sky
Lines
Grey
Cloud
Tripod
City
Landscape
River
Skyscrapers
Landscape
Horizon
Corner
Buildings
Window
Puddle
Mirror
Pavement
Riverside
Town
Park
Buildings
Roads
Below
City
Brownish
Metal
River
Brown
City
Sky
Man
Roof
City
25. Encoding an Image – Objects (group)
• Reach an agreement as a group (up to 5 objects, 1 word each)
Sky
Man Tightrope
Roof
Town
Sky
Someone
Reflection
Town
Sky
Man Tightrope
Roof
City
26.
27. Encoding an Image – Scene/Story
• Decide on story of up to 5 words
Man
walks
tightrope
above
town
Sky
Man Tightrope
Roof
Town
28. Man walks tightrope above town
Blue
Uniform
Empty
Sea
Blue
Calm
Sky
Cloud
Sunny
Cloud
Sky
Stick
Sky
Cloud
Cotton
Tightrope
Man
Balancing
Clouds
Sky
Lines
Grey
Cloud
Tripod
City
Landscape
River
Skyscrapers
Landscape
Horizon
Corner
Buildings
Window
Puddle
Mirror
Pavement
Riverside
Town
Park
Buildings
Roads
Below
City
Brownish
Metal
River
Brown
City
Sky
Man Tightrope
Roof
Town
The Encoded Image
29. Generating the Poem (Decoding)
• React to what we saw
• Write a poem word-by-word
• Individually propose alternative continuations
• Collaboratively select one
30. Decoding – Choose First Word
I
He
The
High
I 4
He 1
The 0
High 1
• Each person
proposes 1 word
• Each person votes
(up to 2 votes) for
‘best’ word
• Cannot vote
yourself!
• Count votes
• Write highest
scoring word to
poem
• If tied, repeat
voting only
between tied
words (or flip coin)
POEM
I
31. Decoding – Choose Next Word
really
only
walk
stand
really 3
only 0
walk 0
stand 1
• Each person
proposes 1 word
• Each person votes
(up to 2 votes) for
‘best’ word
• Cannot vote
yourself!
• Count votes
• Write highest
scoring word to
poem
• If tied, repeat
voting only
between tied
words (or flip coin)
POEM
I really
32. Decoding – Choose Next Word
knowing
walking
trotting
standing
knowing 0
walking 3
trotting 0
standing 1
• Each person
proposes 1 word
• Each person votes
(up to 2 votes) for
‘best’ word
• Cannot vote
yourself!
• Count votes
• Write highest
scoring word to
poem
• If tied, repeat
voting only
between tied
words (or flip coin)
POEM
I really had an easy way of walking
33. Decoding – Speed it up
• One word at a time is too slow for humans…
• Propose whole phrases (as many words as you like)
34. Decoding – Choose Next Phrase
However tall
I never thought
Looking at a small
Despite
However tall 0
I never thought 1
Looking at a small 3
Despite 1
• Each person
proposes 1 phrase
• Each person votes
(up to 2 votes) for
‘best’ phrase
• Cannot vote
yourself!
• Count votes
• Write highest
scoring phrase to
poem
• If tied, repeat
voting only
between tied
words (or flip coin)
POEM
I really had an easy way of walking
Looking at a small
37. Image: Man leads caravan through desert
The camel holds the hand of the poor man
He’ll watch us tread, he’ll watch us fall
The long shadow of a donkey across the cracked sand
Shabbily clad but standing tall
We each of us must go, all
Surrounded by another expedition,
Across an ocean on the sea of sand,
Mountains gaze upon a vast Egyptian,
A field of sand beneath the silver strand.
38. Image: Man free falls to ground
We gotta hide behind the Beaver lake!
I wanna know a better place or where,
Another day a little kiss and take,
An angel on the other side of there.
The forest and cliffs standing against the sky
A human being in free fall
Sailing through the air like a fly
Come to me, the grass, a call.
39. Image: Crowd watches fishes at aquarium
In a box of Nothing
far from the deep
where waves are thrusting
where light goes to sleep
Expecting something from an empty zoo,
Surrounded by an ocean full of fish,
On the other side of me and you,
Beneath the carpet like a jellyfish.
40. Image: Two men round a campfire
A living fire becomes a doubles title.
To stay protected by the sons of men,
We stuck together like a semi final,
The one and two and three or four of ten.
Marshmallows at dawn
Freshly cut wood burns in the fire
Time slips out a wide yawn
They all sing out in choir
41. Acknowledgements
• Zena Edwards, CV:iD
• Daniela Paolucci, Apples and Snakes
• Sebastian Riedel, UCL
• Piotr Mirowski, HumanMachine/Deepmind
• Mandana Seyfeddinipur, SOAS
• Marjan Ghazvininejad, USC
• Generating Topical Poetry, EMNLP 2016
Toe upon toe, a snowing flesh, A gold of lemon, root and rind, She sifts in sunlight down the stairs With nothing on. Nor on her mind.
We spy beneath the banister A constant thresh of thigh on thigh-- Her lips imprint the swinging air That parts to let her parts go by.
One-woman waterfall, she wears Her slow descent like a long cape And pausing, on the final stair Collects her motions into shape.